awesome-muse-connectors
A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes.
No outside reports on file
Using connectors from a third-party catalog means trusting both the connector authors and the catalog maintainer; any connector can become a data leak if misconfigured, outdated, or malicious.
Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesReads local filesNOTED
- Command executionNo shell command runner notedLOW
- Network reachLocal or standard API callsLOW
- CredentialsRequires API key or tokenREVIEW
- Package sourceGitHub (Anil-matcha/awesome-muse-connectors)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/Anil-matcha/awesome-muse-connectors ↗
About Awesome Muse Connectors
This is a curated list of Meta Muse integrations and connector skills—pre-built tools that let AI agents connect to outside services. It documents what each connector can do, how to authenticate it, and what permissions it needs.
Who it’s for
Developers building or evaluating AI agents that need to integrate with Meta Muse or similar platforms. Teams looking for existing connectors before building custom ones.
Alternatives
- Official Meta Muse integrations (curated by Meta, lower third-party risk).
- Zapier or Make (formerly Integromat) (pre-vetted connectors, though with their own privacy terms).
- Custom in-house connectors (higher effort, but full control over permissions and code).
- LangChain tools or OpenAI function calling (alternative frameworks with their own integration ecosystems).
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README. This is a reference catalog, not a package to install directly—you'll integrate specific connectors listed in it into your own Muse setup.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 1.4k
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Security reports
No reports found for this package in our research (last checked 2026-10-29).
Risks to watch for
- Account access exposure: Each listed connector requires credentials (API keys, OAuth tokens) to authenticate; if leaked or misconfigured, attackers gain access to those external services.
- Permission scope creep: Connectors may request broad permissions (read/write all data) when narrow permissions would work; an AI agent with over-privileged access can leak or modify sensitive data.
- Hidden connector behavior: Connector code fetched from third-party sources could contain malicious logic that sends data to attackers instead of the intended service.
- Stale or unmaintained connectors: Old connectors in the catalog may have known vulnerabilities or use deprecated authentication methods that are less secure.
- Social engineering via documentation: Malicious descriptions or fake setup instructions in the catalog could trick you into granting the agent dangerous permissions.
How to lower the risk
Least-privilege permissions
- Grant each connector only the minimum permissions it needs (read-only instead of read-write, specific resources instead of all).
- Rotate credentials regularly and disable unused connectors immediately.
Network isolation
- Run connectors in a sandboxed environment or restricted VPC if possible.
- Log all outbound requests from connectors to catch unexpected data transfers.
Monitoring
- Audit which connectors access which accounts and data sources weekly.
- Set alerts for unusual API call patterns or failed authentications.
Red flags to watch for
- Connectors requesting permissions for services they don't mention in their description.
- Unmaintained projects with no recent updates or unresolved security issues.
- Connectors that bypass or weaken your authentication mechanisms.
Questions
How do I install Awesome Muse Connectors?
Awesome Muse Connectors does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/Anil-matcha/awesome-muse-connectors.
Are there security reports about Awesome Muse Connectors?
No reports found for this package in our research (last checked 2026-10-29). Awesome Muse Connectors currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include account access exposure, permission scope creep, hidden connector behavior.
Is Awesome Muse Connectors actively maintained?
Awesome Muse Connectors has 1.4k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/Anil-matcha/awesome-muse-connectors before pinning it in production.
What are alternatives to Awesome Muse Connectors?
Notable alternatives to Awesome Muse Connectors include Official Meta Muse integrations, Zapier or Make (formerly Integromat), Custom in-house connectors, LangChain tools or OpenAI function calling. You can also compare Awesome Muse Connectors side by side with other skills in the Related tools section on this page.
README badge and team notes
Maintain or use Awesome Muse Connectors? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/anil-matcha-awesome-muse-connectors)HTML embed:
<a href="https://agentarmorhq.com/skills/anil-matcha-awesome-muse-connectors"><img src="https://agentarmorhq.com/api/badge/anil-matcha-awesome-muse-connectors" alt="AgentArmorHQ Risk Grade for Awesome Muse Connectors" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "anil-matcha-awesome-muse-connectors"- Compare Awesome Muse Connectors →
- Add to a team allowlist
- Claude and terminal guide →
- Download the PDF guide
Share with your security lead
Need sign-off to use awesome-muse-connectors? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: awesome-muse-connectors
- **Listing URL:** https://agentarmorhq.com/skills/anil-matcha-awesome-muse-connectors
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.4k GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** Reads local files
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** Requires API key or token
- **Package source:** GitHub (Anil-matcha/awesome-muse-connectors)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/Anil-matcha/awesome-muse-connectors
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- AI agent skill
- Publisher
- Anil-matcha
- Source code
- github.com/Anil-matcha/awesome-muse-connectors
- Est. context load
- ~64 tokens idle · ~450 tokens when active (on-demand skill)
- Popularity
- 1.4k GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-22
Community
Discussions for Awesome Muse Connectors
Ask questions or share configuration tips. Governed by our Community Rules & Terms.
No posts match this filter yet.
Be the first to ask a question or share a working tip.
Check before you install, in Claude
Your assistant answers Block, Review or No known issues for any package before it installs it.
Get this check inside Claude